Document Detail


Fast semi-analytical model-based acoustic inversion for quantitative optoacoustic tomography.
MedLine Citation:
PMID:  20304725     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
We present a fast model-based inversion algorithm for quantitative 2-D and 3-D optoacoustic tomography. The algorithm is based on an accurate and efficient forward model, which eliminates the need for regularization in the inversion process while providing modeling flexibility essential for quantitative image formation. The resulting image-reconstruction method eliminates stability problems encountered in previously published model-based techniques and, thus, enables performing image reconstruction in real time. Our model-based framework offers a generalization of the forward solution to more comprehensive optoacoustic propagation models, such as including detector frequency response, without changing the inversion procedure. The reconstruction speed and other algorithmic performances are demonstrated using numerical simulation studies and experimentally on tissue-mimicking optically heterogeneous phantoms and small animals. In the experimental examples, the model-based reconstructions manifested correctly the effect of light attenuation through the objects and did not suffer from the artifacts which usually afflict the commonly used filtered backprojection algorithms, such as negative absorption values.
Authors:
Amir Rosenthal; Daniel Razansky; Vasilis Ntziachristos
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't     Date:  2010-03-18
Journal Detail:
Title:  IEEE transactions on medical imaging     Volume:  29     ISSN:  1558-254X     ISO Abbreviation:  IEEE Trans Med Imaging     Publication Date:  2010 Jun 
Date Detail:
Created Date:  2010-07-27     Completed Date:  2010-12-22     Revised Date:  2012-04-24    
Medline Journal Info:
Nlm Unique ID:  8310780     Medline TA:  IEEE Trans Med Imaging     Country:  United States    
Other Details:
Languages:  eng     Pagination:  1275-85     Citation Subset:  IM    
Affiliation:
Institute for Biological and Medical Imaging, and Chair for Biological Imaging, Technische Universität of München and Helmholtz Zentrum München, 85764 Neuherberg, Germany. eeamir@gmail.com
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MeSH Terms
Descriptor/Qualifier:
Algorithms*
Computer Simulation
Elasticity Imaging Techniques / methods*
Image Enhancement / methods
Image Interpretation, Computer-Assisted / methods*
Imaging, Three-Dimensional / methods*
Models, Biological*
Reproducibility of Results
Sensitivity and Specificity

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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